Research on deep mining model of online learning data based on multiscale clustering

Lijuan Liu
{"title":"Research on deep mining model of online learning data based on multiscale clustering","authors":"Lijuan Liu","doi":"10.1504/ijict.2023.134253","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":39396,"journal":{"name":"International Journal of Information and Communication Technology","volume":"53 1","pages":"215-230"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijict.2023.134253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多尺度聚类的在线学习数据深度挖掘模型研究
在线学习数据挖掘模型没有考虑数据的非线性,存在查全率、查准率和MMR低的问题。采用支持向量机对在线学习数据进行分类,并采用层次插值方法对在线学习数据中的噪声进行抑制。本文采用多尺度聚类算法对数据关联规则进行递归处理,通过回归分类树构建在线学习数据深度挖掘模型,并借助相似递归函数求解深度挖掘模型的最优解,完成在线学习数据深度挖掘。结果表明,该方法与理想的分层结果分布具有较高的拟合度,数据挖掘的精密度、召回率和MRR均优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.70
自引率
0.00%
发文量
95
期刊介绍: IJICT is a refereed journal in the field of information and communication technology (ICT), providing an international forum for professionals, engineers and researchers. IJICT reports the new paradigms in this emerging field of technology and envisions the future developments in the frontier areas. The journal addresses issues for the vertical and horizontal applications in this area. Topics covered include: -Information theory/coding- Information/IT/network security, standards, applications- Internet/web based systems/products- Data mining/warehousing- Network planning, design, administration- Sensor/ad hoc networks- Human-computer intelligent interaction, AI- Computational linguistics, digital speech- Distributed/cooperative media- Interactive communication media/content- Social interaction, mobile communications- Signal representation/processing, image processing- Virtual reality, cyber law, e-governance- Microprocessor interfacing, hardware design- Control of industrial processes, ERP/CRM/SCM
期刊最新文献
A Huffman based short message service compression technique using adjacent distance array Machine Learning Models for Behavioural Diversity of Asian Elephants Prediction Using Satellite Collar Data Visually Impaired Usability Requirements for Accessible Mobile Applications: A Checklist for Mobile E-book Applications Dengue Outbreak Detection Model Using Artificial Immune System: A Malaysian Case Study Modelling and Forecasting the Trend in Cryptocurrency Prices
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1